KB curation
Content reviewed, deduplicated, cleaned and rewritten where needed.
AI knowledge base management — KB curation, structuring for AI retrieval, content refreshes, gap analysis and quality assurance — so AI answers from accurate, current sources.
AI systems — chatbots, copilots, support agents and internal assistants — are only as good as the knowledge base behind them. Stale articles, duplicate content, inconsistent terminology and missing gaps all show up as inaccurate AI answers, and no amount of prompt tuning fixes a bad KB.
Opervics runs AI knowledge base management as a managed function — KB curation, structuring for AI retrieval, content refreshes, gap analysis, terminology standardization and quality assurance — so every AI output draws from accurate, current sources.
Content reviewed, deduplicated, cleaned and rewritten where needed.
Chunking, tagging and metadata tuned so AI finds the right content.
Articles reviewed on a cadence and updated to match product reality.
Ticket trends, AI escalations and search logs turned into new KB topics.
Consistent terms and definitions across the KB — improves AI accuracy.
KB freshness, gaps closed, AI retrieval accuracy and deflection impact.
These are the same operational issues we see across clients — and the same ones our process is designed to remove.
KB articles describe old products, old flows, old policies.
Same question answered in three places — AI picks the wrong one.
Different words for the same concept — retrieval gets confused.
Common questions have no article — AI guesses instead of quoting.
Content is created once, then left alone for years.
Nobody knows KB freshness, coverage or AI retrieval accuracy.
Every service inherits the same baseline security posture, then adds service-specific controls on top.
Access, change management, monitoring and incident response aligned to SOC 2.
Role-based access to KB systems — scoped, auditable and reviewed.
Content edits logged, reversible and reviewed before publish.
KB freshness, gaps closed and retrieval accuracy reported weekly.
Content curation, structuring for AI retrieval, refreshes, gap analysis, terminology standardization and QA.
Confluence, Notion, Zendesk Guide, Intercom Articles, SharePoint, Help Scout Docs, wikis and custom systems.
Both — we maintain existing content and add new articles based on ticket trends, search logs and AI escalations.
Directly — accurate, well-structured KB content improves AI answer accuracy and reduces hallucination rates.
KB freshness, gaps closed, retrieval accuracy and deflection impact — reported weekly.
Per article, per volume band, or as a monthly retainer — agreed upfront.
A short conversation is usually enough to scope the KB and propose a starting point.